640 citations
- Harbin Institute of TechnologyCN60 papers
- Nanjing University of Aeronautics and AstronauticsCN55 papers
- Northwestern Polytechnical UniversityCN34 papers
- Beihang UniversityCN31 papers
- Centre National de la Recherche ScientifiqueFR21 papers
- Chinese Academy of SciencesCN19 papers
- Laboratoire Charles CoulombFR17 papers
- Institut Universitaire de FranceFR16 papers
- Université de MontpellierFR16 papers
- Shanxi UniversityCN13 papers
- Beijing Institute of TechnologyCN12 papers
- Kurchatov InstituteRU11 papers
220 papers
Predicting Multi-Order Magnetic Polariton Resonances for Radiative Properties Tailoring by Distributed Circuit Model
Hangjie Li, Junming Zhao
Surface plasmon polaritons (SPPs) and magnetic polaritons (MPs) are fundamental resonance modes that are widely used to tailor the thermal radiation properties of micro/nanostructu…
A hidden ultra-relativistic spine in the jet of a neutrino-associated blazar
Y. Y. Kovalev, F. Eppel, D. C. Homan +16
Supermassive black holes launch powerful jets of plasma that can accelerate particles to extreme energies, but the physical conditions required to produce high-energy neutrinos rem…
Decoupling Spatio-Temporal Adapter for Fine-Grained Badminton Action Localization
Tianyu Wang, Junjie Wu, Jingquan Gao +1
Temporal Action Localization (TAL) has been extensively studied in generic video understanding, while fine-grained sports scenarios, such as professional badminton, remain underexp…
Constraints on non-canonical chaotic inflation from ACT DR6 and BICEP/Keck data
Wei Yang, Chen-Hao Wu, Ya-Peng Hu
In this study, we precisely evaluated the feasibility of the chaotic inflation model within a non-canonical kinetic framework. By applying the slow-roll approximation and imposing…
Probabilistic data quality assessment for structural monitoring data via outlier-resistant conditional diffusion model
Qi Li, Yong Huang, Hui Li
Data quality assessment is an essential step that ensures the reliability of the subsequent structural health monitoring (SHM) tasks. This study proposes a prediction deviation-bas…
Probabilistic Graphical Model using Graph Neural Networks for Bayesian Inversion of Discrete Structural Component States
Teng Li, Stephen Wu, Yong Huang +2
The health condition of components in civil infrastructures can be described by various discrete states according to their performance degradation. Inferring these states from meas…